algovoi-receipt-sentinel

v0.1.0 suspicious
4.0
Medium Risk

Tenant-side monitoring layer: detects tamper/replay/scan/burst attack patterns from receipt and webhook verification events

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risk in terms of network and shell activities, but metadata indicators suggest potential concerns regarding the maintainers' credibility and project longevity.

  • Repository recently created
  • Lack of community engagement
  • Sparse maintainer history
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external API interactions.
  • Shell: No shell execution detected, indicating that the package likely does not execute system commands.
  • Metadata: The repository's recent creation, lack of community engagement, and sparse maintainer history raise suspicion but do not definitively indicate malice.

📦 Package Quality Overall: Medium (5.8/10)

✦ High Test Suite 9.0

Test suite present — 2 test file(s) found

  • Test runner config found: pyproject.toml
  • 2 test file(s) detected (e.g. test_sentinel.py)
◈ Medium Documentation 5.0

Some documentation present

  • Brief PyPI description (340 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 6 type-annotated function signatures (partial)
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 4 commits in chopmob-cloud/algovoi-receipt-sentinel
  • Two distinct contributors found

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: algovoi.co.uk>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 5.0

Git history flags: Repository created very recently: 6 day(s) ago (2026-05-31T11:18:27Z)

  • Repository created very recently: 6 day(s) ago (2026-05-31T11:18:27Z)
  • Repository has zero stars and zero forks
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with algovoi-receipt-sentinel 
Develop a comprehensive fraud detection system for an e-commerce platform using the 'algovoi-receipt-sentinel' package. This mini-application will monitor and analyze receipt and webhook verification events to detect potential fraudulent activities such as tampering, replay attacks, scanning, and burst attacks. The goal is to enhance security and ensure the integrity of transactions within the e-commerce environment.

### Key Features:
1. **Real-time Monitoring:** Implement real-time monitoring of receipt and webhook verification events to quickly identify any suspicious activities.
2. **Tamper Detection:** Utilize the 'algovoi-receipt-sentinel' package to detect if receipts have been altered or tampered with since their creation.
3. **Replay Attack Prevention:** Ensure that receipt data cannot be reused in multiple transactions by detecting replay attacks.
4. **Scan Attack Mitigation:** Prevent attackers from scanning through multiple receipts to find vulnerabilities or sensitive information.
5. **Burst Attack Handling:** Manage sudden spikes in traffic or requests to prevent denial-of-service attacks.
6. **Alert System:** Set up an alert system that notifies administrators via email or SMS when suspicious activities are detected.
7. **Dashboard:** Create a user-friendly dashboard where administrators can view the status of all monitored transactions, recent alerts, and overall security metrics.
8. **Logging and Reporting:** Maintain logs of all events and generate reports on a daily/weekly basis to review security trends and take necessary actions.

### Implementation Steps:
1. **Setup Environment:** Begin by setting up your development environment and installing the 'algovoi-receipt-sentinel' package along with other necessary Python libraries.
2. **Integrate with E-commerce Platform:** Integrate the application with your existing e-commerce platform's API to fetch receipt and webhook verification events.
3. **Event Analysis:** Use the 'algovoi-receipt-sentinel' package to analyze these events for signs of tampering, replay, scan, and burst attacks.
4. **Alert Mechanism:** Develop an alert mechanism that triggers based on the severity of the detected threat and sends notifications to designated personnel.
5. **Dashboard Development:** Design and implement a dashboard that provides real-time insights into the security status of the platform.
6. **Testing and Validation:** Thoroughly test the application under various scenarios to ensure its effectiveness in detecting and mitigating threats.
7. **Deployment and Maintenance:** Deploy the application in a production environment and continuously maintain it to adapt to new types of threats and improve performance.